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沈益教授讲座公告
来源:中南财经政法大学统计与数学学院    编辑:佚名    时间:2017-5-8    点击数:

    报  人:沈益(浙江理工大学)

    报告时间:5月12号下午3:20—4:00

    报告地点:文波楼4楼会议室

    报告题目:Compressed sensing and Redundancy

    摘   要:Compressed sensing has triggered significant research activity in recent years. It predicts that sparse signals can be reconstructed from what was previously believed to be incomplete information.  We show that the distinct subcomponents, which are (approximately) sparse in morphologically different (redundant) dictionaries, can be reconstructed by solving the split-analysis algorithm, provided that the dictionaries satisfy a mutual coherence (between the different dictionaries) condition and the measurement matrix satisfies a restricted isometry property adapted to a composed dictionary. This problem was posed by Candes et al. in 2011.


    主讲人简介:

    沈益,浙江理工大学教授。研究兴趣主要是逼近论,图像处理,压缩感知,主持国家自然科学基金青年、面上、联合项目,浙江省面上项目,在Applied and Computational Harmonic Analysis, IEEE T. Information Theory 等国际顶级杂志发表论文近20篇。